O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Many of these data platforms encourage collaboration and sharing of data, features, and models.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Apiumhub

AUGUST 12, 2021

The largest programming conference in Poland: September 21, 2021 | Ergo Arena 3cITy September 23, 2021 | PGE Narodowy Warsaw. Code Europe is the largest IT conference in Poland, offering great lectures, a huge selection of thematic sessions, and exhibition space. He has spoken at many conferences, user groups, etc., Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

FEBRUARY 11, 2019

I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post.

Big Data 87

Big Data Technology Tools Cloud 87

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Strategy Driven

AUGUST 27, 2015

Whatever method your organization chooses, it will place a significant strain on your – probably already overwhelmed – central IT department, because they will need to construct a complimentary architecture with these two very different platforms.

Big Data 33

Big Data Data Storage Journal 33

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 129

Weak Development Team Data Technical Review Survey 129

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8